Best Top Lane Laners - Lane Phase Stats

Patch 26.19

150 Top Lane champions ranked by how they do against their lane opponent at 15 minutes on patch 26.19, from 95,225 ranked games. Irelia wins lane hardest at +728 gold ahead on average and is ahead in 62% of games. Kayle turns a gold lead into a win most often (69%), while Maokai recovers from a deficit best (49%).

Patch
26.19
Strongest laner
Irelia · +728
Highest lane win rate
Lissandra · 65.6%
Best at closing a lead
Kayle · 68.8%
Best from behind
Maokai · 48.8%
Most solo kills
Irelia · 2.17

Patch 26.19 · All ranks · NA ranked Solo/Duo & Flex · Games: 95,225

Irelia is the Top Lane lane bully of patch 26.19: +728 gold, +20.9 CS and +272 XP ahead of the enemy laner at 15 minutes on average, and ahead in 62% of games. Across the role, 30% of champions with a full sample hold a statistically clear gold lead at 15.

Winning lane and winning the game are different skills. Kayle converts a gold lead into a win 69% of the time, the best in the role, while Maokai wins 49% of the games it starts behind, the strongest comeback profile. Irelia takes the most solo kills before 15 (2.17 per game) and Master Yi draws first blood in 29% of games.

These numbers come from 95,225 ranked Solo/Duo and Flex games on the North American server, patch 26.19, All ranks. A champion needs 30 games with a 15-minute snapshot before any lane number is shown and 200 games before it can headline this page. The MetaBot desktop app splits the same table into Iron–Silver, Gold–Platinum and Emerald+ brackets and adds a lane map of gold lead against scaling.

Top 3 Top Lane laners

Rank
Champion
Profile
Gold @15CS @15XP @15Lane WRWin AheadWin BehindSolo KillsFirst BloodScalingWin RatePick ShareGames
1Lane bully+728+20.9+27262.1%58.8%33.0%2.1724.1%−5.049.1%1.7%3,276
2Lane bully+566+19.5+24164.6%63.1%37.8%1.6214.7%+3.754.2%0.2%319
3Lane bully+520+16.7+49260.9%59.1%36.8%1.5811.4%−6.850.3%2.3%4,282
4Lane bully+488+15.3+47461.7%54.9%36.6%1.368.0%−4.248.1%1.3%2,451
5Lane bully+4560.0+19360.0%59.3%32.1%1.477.9%−3.248.3%0.2%420
6Lane bully+426+12.6+34557.4%55.1%36.6%2.0014.7%−8.747.4%0.3%504
7Lane bully+419+10.8+36865.6%54.4%43.4%1.3313.5%−19.251.4%0.1%245
8Lane bully+370+7.3+43357.8%59.5%36.9%1.8213.1%−3.450.1%2.2%4,204
9Lane bully+368+8.2+45362.1%50.0%44.4%1.2811.2%−1.448.6%0.2%385
10Lane bully+359−2.2+12557.4%59.2%39.9%1.8621.8%−4.251.1%0.9%1,727
11Lane bully+338+6.6+9656.4%62.2%36.7%1.7324.4%0.051.2%1.9%3,708
12Lane bully+318+6.4+32858.3%63.3%40.7%1.3310.5%+0.854.1%0.1%209
13Lane bully+311+3.5−556.2%58.7%37.2%1.4115.5%−1.149.2%2.2%4,147
14Lane bully+301+6.4+35158.2%60.5%39.5%1.6413.0%−0.151.7%2.3%4,374
15Lane bully+240+6.2+11656.1%60.4%39.1%1.117.3%−9.351.1%2.4%4,627
16Lane bully+229+4.9+39559.0%55.2%36.1%1.8912.3%−8.047.4%1.0%1,909
17Lane bully+214+3.5+40657.4%59.3%39.0%1.7310.9%−2.550.8%3.9%7,389
18Balanced+210+11.8+27457.6%55.0%38.8%1.6915.1%−9.347.8%0.1%245
19Lane bully+184+8.4+1352.9%57.8%35.8%1.4213.0%−2.147.6%1.1%2,022
20Lane bully+176+6.7+454.2%59.3%35.4%1.7115.5%−0.448.4%3.9%7,332
21Lane bully+121−1.4+2551.9%61.7%40.5%1.7319.6%+0.451.6%4.3%8,169
22Lane bully+113+1.7−5652.5%61.1%37.2%1.7621.9%+2.249.9%1.1%2,073
23Lane bully+105+0.4+12153.0%61.3%40.3%1.3712.8%−1.551.3%3.9%7,443
24Lane bully+98−0.3−752.1%60.9%38.6%1.7517.5%−3.250.4%2.9%5,464
25Lane bully+89+3.8+32454.0%55.7%34.7%1.538.4%−1.646.2%1.1%2,171
26Balanced+58−6.2−17849.2%51.9%33.3%1.7419.6%−0.543.3%0.1%270
27Balanced+53+8.0−11251.3%60.6%37.6%1.5419.2%+3.649.2%1.5%2,925
28Balanced+40+3.4+11051.5%57.7%38.4%1.329.6%+1.648.4%1.6%3,070
29Balanced+35+0.8−8951.3%58.7%38.5%1.7020.3%+1.048.6%1.7%3,289
30Balanced+35+4.0+8950.5%63.4%39.4%1.3815.3%+2.251.1%0.3%511
31Balanced+33−2.6−5451.7%59.7%39.4%1.7419.6%+1.149.9%1.4%2,597
32Balanced+22+5.2−3950.3%62.0%36.5%1.6016.5%+1.849.2%3.4%6,397
33Balanced+16−5.8+12551.6%58.7%37.0%1.7518.7%−9.448.4%0.4%678
34Balanced+12−5.1−1350.5%60.8%39.8%1.7822.2%+0.650.5%0.5%855
35Balanced+2−2.3050.2%62.6%41.0%1.7915.8%−0.551.6%0.6%1,105
36Balanced0−2.6−28849.5%58.6%38.7%1.4318.7%−2.948.5%1.4%2,646
37Balanced−7+1.5+24747.9%58.3%35.7%1.2211.6%+0.546.0%0.2%441
38Stabilizer−13+12.2−13050.5%57.8%44.3%0.933.0%+1.751.5%0.4%689
39Stabilizer−14+3.8−10648.8%59.7%44.5%1.3111.1%+0.951.8%3.8%7,243
40Balanced−16−1.9−3250.3%58.5%40.7%1.4917.7%−3.149.6%1.9%3,683
41Balanced−17+6.0+20650.5%59.2%38.9%1.338.2%+0.849.2%0.6%1,072
42Stabilizer−25+1.5−6149.7%57.0%41.6%0.996.4%+0.849.3%1.4%2,604
43Balanced−35−0.4+11550.0%57.9%40.4%1.4212.3%+1.449.1%1.2%2,251
44Balanced−42−1.6+18850.3%61.3%37.9%1.358.5%+3.849.3%0.7%1,357
45Balanced−68−4.9−1047.8%57.0%35.8%1.2012.4%+7.446.2%0.1%210
46Balanced−72−6.4−9448.4%61.4%38.0%1.7016.1%−1.349.3%2.8%5,284
47Balanced−88−0.1−2947.8%57.5%37.6%1.1211.1%+0.547.1%0.2%442
48Balanced−101−1.0−16847.7%61.8%38.1%1.3212.3%+0.749.3%1.6%2,954
49Stabilizer−129−6.9+11446.8%57.3%42.5%1.156.2%+0.149.2%0.9%1,686
50Scaler−144−8.1−53245.1%60.6%40.3%1.1315.4%+6.949.6%0.5%999
51Scaler−145+0.2+147.2%56.2%39.2%1.4410.0%+3.347.3%0.6%1,067
52Scaler−155−6.1−32546.0%59.3%37.0%1.5217.1%+4.847.1%1.2%2,228
53Balanced−166−7.1+22047.6%60.1%40.7%1.5410.0%+0.849.8%1.5%2,792
54Balanced−193−7.0+4446.6%59.8%38.7%1.4214.0%+0.548.7%0.4%822
55Stabilizer−233−10.1+10045.0%62.0%45.0%1.095.4%−1.852.7%3.5%6,600
56Stabilizer−236−5.1−6544.0%63.3%44.1%1.289.9%+1.052.4%2.0%3,863
57Scaler−251−6.8−15244.7%61.3%39.2%1.4612.5%+2.449.0%1.2%2,320
58Scaler−259−7.7−19144.2%65.0%40.0%1.4315.3%+3.251.0%1.4%2,688
59Scaler−275−16.0−52543.7%64.1%41.5%2.0025.9%+5.551.5%0.2%328
60Balanced−286−7.2+6646.8%51.0%33.6%1.6210.4%+0.742.5%0.1%221
61Scaler−297+5.1−60441.8%61.5%45.9%0.8810.9%+2.452.5%1.2%2,253
62Stabilizer−299+1.3−28840.2%56.3%44.1%0.775.9%−1.048.8%0.2%404
63Scaler−332−11.0−64248.7%55.7%34.7%1.7526.5%+13.144.5%0.1%238
64Scaler−352−7.0−35144.7%54.9%32.1%1.6316.2%+1.742.3%0.1%260
65Scaler−355−10.7−24141.0%57.0%39.9%1.408.9%+1.647.4%0.1%247
66Scaler−365−16.6−6143.1%62.6%43.9%1.3012.9%+1.751.9%0.2%310
67Scaler−379−7.8−31240.7%62.9%41.9%0.8611.3%+9.551.0%0.1%292
68Scaler−379−4.4−50838.3%62.2%34.8%1.0714.9%+4.245.6%0.1%215
69Scaler−410−1.5−56641.0%59.1%41.6%1.0412.3%+7.748.7%0.8%1,473
70Scaler−417−5.8−23640.2%65.7%42.6%0.724.5%+6.451.9%1.7%3,274
71Scaler−445−13.3−65641.9%64.3%41.2%1.6928.8%+7.250.8%0.3%472
72Scaler−450−9.6−16839.0%62.4%46.0%1.006.9%+4.352.5%1.6%3,107
73Scaler−486−4.1−67337.7%60.7%39.0%1.2919.4%+4.346.9%0.4%723
74Scaler−498−11.4−29938.2%56.5%48.8%0.827.0%+10.751.8%0.2%328
75Scaler−537−6.6−66831.8%62.7%37.5%0.796.5%+13.045.3%0.1%214
76Stabilizer−543−13.2−24838.3%61.7%43.8%0.883.6%−0.250.6%3.3%6,266
77Scaler−613−11.1−56133.3%59.8%45.7%0.762.5%+13.250.7%0.1%280
78Scaler−669−22.8−37133.5%64.4%44.3%1.0014.6%+2.551.0%1.8%3,343
79Scaler−701−9.5−57632.6%68.8%43.6%0.8911.7%+15.351.7%1.3%2,522
80Lane bully+905+16.6+75265.6%——2.2815.6%—40.6%0.0%32Low sample
81Lane bully+885+22.1−14663.2%56.4%34.4%1.5411.2%—48.3%0.1%89Low sample
82Lane bully+759+11.2+86570.7%57.4%46.2%2.1623.5%−3.353.7%0.1%136Low sample
83Lane bully+578+19.8+7962.8%49.5%31.5%1.6529.1%+2.843.2%0.1%148Low sample
84Lane bully+540+8.1+61061.7%46.3%37.3%2.0112.0%−6.042.9%0.1%133Low sample
85Lane bully+512+2.9+47961.2%52.2%31.6%2.2414.7%−4.045.3%0.1%150Low sample
86Lane bully+461+12.4+51462.1%59.3%51.5%1.7620.2%—56.2%0.1%89Low sample
87Balanced+436+15.3+24460.0%63.3%—1.5416.0%—48.0%0.0%50Low sample
88Lane bully+414+15.4−12457.4%55.4%23.6%1.2410.7%+6.542.0%0.1%131Low sample
89Lane bully+340+5.7−1358.2%57.3%35.9%1.4219.5%+5.448.1%0.1%154Low sample
90Stabilizer+281−2.2+8656.4%60.0%41.4%1.8517.2%+1.651.5%0.1%134Low sample
91Snowballer+250+1.3−2954.6%71.7%31.8%1.5417.0%−3.753.0%0.1%100Low sample
92Balanced+173+1.8+14858.5%58.1%—1.5714.3%—50.0%0.0%56Low sample
93Stabilizer+168+3.3+49654.1%57.6%43.1%1.3010.1%−5.551.6%0.1%159Low sample
94Balanced+163+0.6−33859.2%——1.7126.5%—44.9%0.0%49Low sample
95Stabilizer+143+5.8−2254.5%50.0%46.7%1.309.1%—48.5%0.0%66Low sample
96Stabilizer+133+4.9+19151.1%53.2%46.7%1.488.6%+3.150.5%0.1%93Low sample
97Balanced+97+7.8−13053.5%52.8%37.0%1.4013.0%−2.045.0%0.1%100Low sample
98Balanced+96+6.4−29551.2%——1.4423.3%—55.8%0.0%43Low sample
99Balanced+86+6.9+29451.7%54.8%40.2%1.389.8%+1.847.3%0.1%184Low sample
100Balanced+53+3.9+32950.0%46.3%36.6%1.622.3%−3.541.9%0.1%86Low sample
101Balanced+21+3.8−37452.6%——0.8712.8%—48.7%0.0%39Low sample
102Balanced+16+4.7−22743.9%—35.1%1.2113.2%—42.6%0.0%68Low sample
103Balanced+6−3.0−14951.5%55.9%31.3%1.6121.2%—43.9%0.0%66Low sample
104Balanced+2−4.3−15150.0%54.2%40.7%1.8519.5%−10.847.5%0.1%118Low sample
105Balanced+1+1.3−24650.0%65.1%38.1%1.3518.0%−6.250.8%0.1%128Low sample
106Balanced−2−7.3−72048.2%51.1%38.6%0.888.5%+9.644.2%0.1%199Low sample
107Stabilizer−7+4.6−22147.7%59.7%49.4%1.3219.7%+13.553.9%0.1%152Low sample
108Balanced−9−7.3−18343.1%—33.3%1.8620.7%—43.1%0.0%58Low sample
109Stabilizer−21+5.4+3945.6%—48.4%1.438.6%—51.7%0.0%58Low sample
110Stabilizer−33+0.4−9450.6%45.0%53.8%1.3311.3%—48.8%0.0%80Low sample
111Stabilizer−54+3.7−11444.3%57.1%45.5%1.157.5%—50.0%0.0%80Low sample
112Balanced−72−11.3+16349.5%71.1%34.8%1.5412.9%−16.051.6%0.1%93Low sample
113Stabilizer−77+3.1−15246.2%62.5%41.1%1.7617.3%+7.651.0%0.1%104Low sample
114Balanced−94+8.1−55146.7%——0.8712.9%—58.1%0.0%31Low sample
115Balanced−104+6.2−38549.6%45.6%37.9%0.9210.3%−5.541.4%0.1%116Low sample
116Balanced−121+3.2−30534.9%——1.3622.7%—47.7%0.0%44Low sample
117Balanced−123−5.7−14847.9%52.2%29.0%1.4113.8%−11.040.8%0.1%196Low sample
118Balanced−139−8.2−8848.3%65.3%31.2%1.5812.8%−6.147.7%0.1%149Low sample
119Stabilizer−147−7.6+4647.9%50.9%45.2%1.539.2%+19.447.9%0.1%119Low sample
120Stabilizer−163−3.3+22947.0%54.4%41.6%0.986.5%−17.547.6%0.1%170Low sample
121Balanced−174+0.9−63744.1%51.7%36.8%0.946.6%−7.943.4%0.1%136Low sample
122Stabilizer−194+2.3−29745.9%—42.4%1.136.6%—44.3%0.0%61Low sample
123Stabilizer−276+2.5−3947.2%57.1%48.8%1.107.9%−5.252.7%0.1%165Low sample
124Balanced−292−2.6+8751.6%——1.009.4%—37.5%0.0%32Low sample
125Balanced−306−5.2+1443.5%——1.2010.9%—43.5%0.0%46Low sample
126Balanced−326−1.6−38036.2%—26.7%0.640.0%—34.0%0.0%47Low sample
127Scaler−329−9.8−37943.1%74.7%34.3%1.7410.5%+11.251.4%0.1%181Low sample
128Stabilizer−340−3.5−24839.7%—45.5%1.3010.8%—52.7%0.0%74Low sample
129Balanced−342−7.6−25136.8%——1.085.1%—43.6%0.0%39Low sample
130Balanced−372−10.9−63945.8%52.6%33.3%1.3314.5%+13.142.2%0.0%83Low sample
131Stabilizer−388−8.5−8036.0%57.1%47.1%0.705.1%−10.150.7%0.1%138Low sample
132Scaler−431−5.5−48042.5%61.3%38.1%1.2114.4%+27.347.9%0.1%146Low sample
133Balanced−446+2.2−24941.8%52.5%36.5%1.001.3%−0.643.3%0.1%150Low sample
134Scaler−526−11.4−62334.6%51.4%44.3%1.4212.0%+13.846.3%0.1%108Low sample
135Balanced−533−4.5−36235.7%—35.6%0.8912.7%—38.0%0.0%71Low sample
136Balanced−629−15.9−62631.0%—34.7%0.494.2%—52.1%0.0%71Low sample
137Stabilizer−647−6.1−69629.8%52.8%44.8%0.727.8%−0.146.9%0.1%179Low sample
138Balanced−662−22.6−16037.5%——1.3520.0%—45.0%0.0%40Low sample
139Balanced−695−21.7−14333.7%—35.1%1.3711.6%—43.0%0.1%86Low sample
140Scaler−761−18.8−80826.9%—46.1%0.672.9%+11.650.0%0.1%104Low sample
141Scaler−788−16.9−59931.2%56.8%46.4%1.019.9%+13.050.0%0.1%142Low sample
142Balanced−856−19.5−44431.0%—40.0%0.558.6%—46.6%0.0%58Low sample
143Balanced−875−21.7−40431.1%—38.1%1.031.6%—48.4%0.0%62Low sample
144Balanced−933−29.0−41926.8%—36.7%1.4316.7%—38.1%0.0%42Low sample
145Balanced−1,170−35.7−78421.9%——0.946.3%—31.3%0.0%32Low sample
146Stabilizer−1,265−20.2−1,32013.9%—48.4%0.542.7%—51.4%0.0%37Low sample
147Scaler−1,293−31.9−87113.6%—45.3%0.704.3%+10.247.0%0.1%185Low sample
148Stabilizer−1,346−28.0−1,24214.5%—42.3%0.504.7%—47.1%0.0%85Low sample
149Stabilizer−1,348−29.0−1,07821.3%—41.7%1.388.2%—45.9%0.0%61Low sample
150Balanced−1,515−34.9−1,40025.7%——1.2611.4%—22.9%0.0%35Low sample
MetaBot Desktop

Every lane, split by rank, live in the app

The desktop Lane Phase tab adds the Iron–Silver, Gold–Platinum and Emerald+ brackets, a lane map of gold lead against scaling, and a per-champion breakdown of how leads turn into wins.

  • Rank brackets: Iron–Silver, Gold–Platinum, Emerald+
  • Lane map: gold lead at 15 against late-game scaling
  • Lead conversion and favored lanes for every champion
MetaBot desktop app Lane Phase tab showing the mid lane leaderboard and a champion's lane profile

Top Lane lane archetypes on patch 26.19

Every champion gets one label from its own numbers: a lane bully holds a clear gold lead at 15, a scaler loses lane but wins late, a snowballer converts big leads far better than it recovers, and a stabilizer keeps winning from behind. Only champions with 200 or more games are listed.

Lane bully

Wins lane consistently and pressures the opponent early: a statistically clear gold lead at 15.

  1. Irelia+728 gold at 15, ahead in 62% of lanes
  2. Naafiri+566 gold at 15, ahead in 65% of lanes
  3. Illaoi+520 gold at 15, ahead in 61% of lanes
  4. Heimerdinger+488 gold at 15, ahead in 62% of lanes
  5. Zed+456 gold at 15, ahead in 60% of lanes

Snowballer

Turns a big lead into a win far more often than it recovers from a deficit.

No Top Lane champion fits this profile on the current patch.

Scaler

Survives a rough lane and wins more the longer the game goes.

  1. Kayle−701 gold at 15, win rate climbs +15.3 points into the late game
  2. Veigar−613 gold at 15, win rate climbs +13.2 points into the late game
  3. Rengar−332 gold at 15, win rate climbs +13.1 points into the late game
  4. Aurelion Sol−537 gold at 15, win rate climbs +13.0 points into the late game
  5. Maokai−498 gold at 15, win rate climbs +10.7 points into the late game

Stabilizer

Recovers from deficits often - a lost lane rarely means a lost game.

  1. MalphiteWins 45% of games from behind (−233 gold at 15)
  2. TeemoWins 45% of games from behind (−14 gold at 15)
  3. MalzaharWins 44% of games from behind (−13 gold at 15)
  4. Cho'GathWins 44% of games from behind (−236 gold at 15)
  5. RyzeWins 44% of games from behind (−299 gold at 15)

How to read these stats

The lane opponent is the enemy player in the same role. Every edge is this champion's number minus the opponent's at the 15:00 timeline frame - gold, CS (minions plus monsters) and XP - averaged across games and shown with a 95% confidence interval. A champion is only called "ahead" or "behind" when the whole interval sits on one side of zero; otherwise the edge is within the margin of error.

Lane win rate is the share of games with any gold lead at 15:00. Win rate when ahead and when behind split the same games by that lead, and every such rate carries a Wilson 95% interval; a champion needs 30 games in a band before the number is shown. The 1,000-gold bands isolate big leads and deficits.

Solo kills count unassisted kills on the lane opponent before 15:00; first blood is the share of games where this player took it. Scaling is the late-game win rate minus the early-game win rate, split at the population's average game length, and needs 40 games on each side. Champions under 200 games carry a Low sample tag and never headline the page.

Data: 95,225 ranked Solo/Duo and Flex games on the North American server, patch 26.19, all ranks combined. The rank bands group games by the seeded player's tier: Iron–Silver, Gold–Platinum and Emerald and above. Remakes and non-ranked queues are excluded, and a lane only counts when exactly one player per team holds the role.

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LoL Lane Phase FAQ - Top Lane, patch 26.19

Which Top Lane champion wins lane the most on patch 26.19?

Irelia has the biggest Top Lane lane lead on patch 26.19: +728 gold and +20.9 CS ahead of the lane opponent at 15 minutes on average, ahead in 62% of games, over 3,276 ranked games.

What does "gold lead at 15" mean?

It is this champion's total gold minus the lane opponent's total gold at the 15-minute mark of the match timeline, averaged over every game where both players have a 15-minute snapshot. A positive number means the champion is usually ahead in lane; the confidence range on each page says whether that lead is statistically clear or within noise.

Does winning lane mean winning the game?

Not by itself. In Top Lane, Kayle turns a gold lead at 15 into a win 69% of the time, while Maokai still wins 49% of the games it starts behind. Compare the "win ahead" and "win behind" columns: a champion with a big gap between them lives and dies by its lane, one with a small gap can afford a rough laning phase.

Which Top Lane champions are lane bullies right now?

On patch 26.19, 24 Top Lane champions with a full sample hold a statistically clear gold lead at 15 minutes. The biggest: Irelia, Naafiri, Illaoi, Heimerdinger, Zed. A lane bully here means the whole 95% confidence range of the gold edge sits above zero, not just a positive average.

What is lane win rate?

The share of a champion's games in which it had any gold lead over the lane opponent at the 15-minute mark. It ignores the size of the lead, so it pairs with the gold edge: a champion with a high lane win rate but a small average edge wins lane often by a little, while a big edge with a middling lane win rate means occasional blowouts.

Where does this data come from?

From 95,225 ranked Solo/Duo and Flex games on the North American server for patch 26.19, using Riot's match timelines for the 15-minute snapshot. All ranks are combined on this page; the MetaBot desktop app splits the same table into Iron–Silver, Gold–Platinum and Emerald+ brackets. Remakes and non-ranked queues are excluded, and a lane only counts when exactly one player per team holds the role.